Learn MQL4 Collection: Free MT4 Expert Advisor

Overview

Learn MQL4 Collection includes a mean-reversion expert advisor based on Bollinger Bands, which enters trades when price breaches specific deviation levels. The strategy incorporates automated risk management by calculating lot sizes according to a predefined percentage of account equity. Trades are managed with hard stop loss and take profit orders based on indicator bands. The repository serves as a foundational framework for learning expert advisor structure, custom indicators, and library inclusion.

Mean reversion Bollinger Bands logic

Dynamic lot sizing by risk percentage

Hard stop loss and take profit

MetaTrader 4 educational templates

Magic number order tracking

Details

Author

rahuldhangar on GitHub

Type

Collection

Platform

MetaTrader 4 (MQL4)

Strategy

Mean reversion

Markets

Any symbol

Timeframes

Any timeframe

Risk profile

No grid, martingale or hedging logic was found in its code or README. That says nothing about how it performs: backtest it first.

EA files

00-examples/Experts/BBands_Test_Strategy.mq4

Topics

hacktoberfesthacktoberfest-acceptedmql4-language

Source

github.com/rahuldhangar/learn-mql4

How to install it

1Download the sourceUse "Download source (.zip)" above, or clone rahuldhangar/learn-mql4 from GitHub, and unzip it.

2Open the data folderIn MetaTrader choose File, then Open Data Folder, and go to MQL4/Experts.

3Copy the filesCopy the .mq4 file into Experts, and any .mqh files into the Include folder the code expects.

4Compile in MetaEditorOpen the file in MetaEditor and press Compile. Fix any missing includes the compiler reports.

5Test before you tradeRun it in the Strategy Tester, then attach it to a demo chart and allow algorithmic trading.

Third-party code. ForexR did not write, test or endorse this EA, and the summary above was generated automatically from its README and code. ForexR lists only repositories with readable source code and never hosts files. Read the code, backtest it and use a demo account first; automated trading can lose money quickly.

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